Research Scientist - Time Series （上海）_CR

Job description

职位独特卖点(USP): 1. 我们是博世人工智能研究中心，立足本土，为博世全球提供顶尖的人工智能解决方案 2. 本职位与国内顶尖大学的人工智能科研团队紧密合作 3. 团队成员80%以上有博士学位，来自世界顶尖学府，海外经历丰富，团队氛围融洽 职位内容: 1. 与博世具体需求相结合，负责Time series相关模型的研究, 设计、开发和优化时间序列模型，用于预测、异常检测和工业流程优化。 2. 与国内顶尖大学研究者紧密合作，推动研究的完成与落地，申请相关专利 3. 积极跟进前沿方向，广泛探索该可行方向和应用，进行原型验证。 Unique Selling Points: 1. We are Bosch Center for Artificial Intelligence China. With a base in China, we provide cutting-edge AI solutions for global Bosch. 2. This role collaborates with top AI research teams in China. 3. Over 80% of the colleagues in our team hold PhD degrees from top institutions in the world. Responsibilities: 1. Conduct reserach in Time series models; develop, implement, and optimize time series models to forecast, detect anomalies, and optimize industrial processes. 2. Closely collaborate with researchers from top insititutions in China, push the completion and application of research projects, and apply for relevant patents. 3. Actively follow frontiers of research, extensively explore viable research ideas and applications, and verify prototypes. 我们希望你： 1. 有较强的编程能力，熟练掌握PyTorch等主流框架。有相关项目经历者优先。 2. 流利的英语听说读写能力，有海外经历者优先 3. 博士学位，专业为计算机、自动化、人工智能、应用数学、物理或其他理工科等相关专业的博士。 4. 在顶尖期刊或会议上发表过论文者优先 Requirements: 1. Strong programming skills, proficiency in mainstream deep learning frameworks, e.g. PyTorch. Experience in relevant projects is a plus. 2. Fluency in English, including listening, speaking, reading and writing. 3. Doctorate degree in computer science, control engineering, AI, applied mathematics, physics, or other STEM majors. 4. Publications in top journals or conferences are a big plus. 该职位内部推荐奖金为人民币10,000元整（仅限博世内部员工申请），具体请参见《博世中国内部推荐政策》 Internal Referral bonus of this vacancy:RMB 10,000 (Valid only for Bosch associates). For the detailed regulation, please refer to Bosch China Internal Referral Policy . Success stories don’t just happen. They are made. Openness, tolerance and integrity shape our work climate, which promote the efficiency of every employee. Strengthen our innovative power by accepting these values.